AI Risk & Compliance
The Questions Every Business Should Ask Before Buying AI
A buyer checklist covering data, security, compliance, integration, cost and measurable business outcomes.
Before committing to any AI vendor, every business should work through a structured checklist. These questions are designed to expose risks and gaps before you sign a contract.
Data Questions
Data is the foundation of every AI system. Before buying, ask:
- •Where will our data be stored and processed?
- •Which countries or regions does data pass through?
- •Will our data be used to train the vendor's general models?
- •What data residency options are available?
- •Who owns the data generated or processed by the AI system?
- •What happens to our data if we cancel the contract?
Many AI vendors have opaque data handling practices. If a vendor cannot answer these questions clearly, treat it as a significant red flag.
Security Questions
Enterprise AI vendors should meet enterprise security standards. Ask:
- •What security certifications do you hold? (ISO 27001, SOC 2, Cyber Essentials)
- •How do you manage access controls and user permissions?
- •How do you handle data breaches? What is your disclosure policy?
- •Do you conduct regular penetration testing?
- •Can you provide your most recent security audit?
Compliance Questions
For regulated industries, compliance is critical. Relevant questions include:
- •Are you GDPR compliant? Can you provide a Data Processing Agreement?
- •Do you offer model explainability? Can we audit how decisions are made?
- •Are you compliant with sector-specific regulations relevant to our business?
- •What is your approach to AI governance and responsible AI?
Integration Questions
AI tools only deliver value if they can be connected to your existing environment:
- •Which systems does your tool integrate with natively?
- •Do you offer an API? What is the documentation like?
- •What technical resources are required on our side for integration?
- •What is the typical integration timeline?
- •What happens when our other systems update or change?
Cost Questions
AI pricing is often complex. Make sure you understand:
- •What is included in the headline price?
- •Are there setup, onboarding or implementation fees?
- •How does pricing scale with usage or users?
- •What is included in the support tier?
- •What are the contract length options and exit clauses?
- •What is the typical total cost of ownership over three years?
Business Outcomes Questions
Ultimately, you are buying outcomes, not technology. Ask:
- •What specific outcomes have similar organisations achieved?
- •What does a realistic implementation look like for our use case?
- •How long before we see measurable results?
- •What metrics will we use to measure success?
- •What does failure look like, and how would we know?
References and Evidence
Every vendor will show you their best case studies. Go further:
- •Can we speak directly to two or three customers similar to us?
- •Can you share a case study where the implementation was challenging?
- •What is your customer retention rate?
Using this checklist as part of a structured vendor evaluation will significantly reduce procurement risk and improve the quality of your final shortlist.
Further Reading
AI Risk & Compliance
GDPR and AI: What Every Business Buyer Must Know Before Signing
Data protection law creates specific obligations when deploying AI systems. This guide explains what GDPR compliance looks like in an AI vendor contract.
AI Strategy
The C-Suite Guide to AI Supplier Selection
What every CEO, CFO, CTO and CPO needs to understand before authorising an AI vendor contract. Strategic, non-technical guidance for senior leaders.
AI for Operations
AI for Procurement Teams: Where to Start in 2025
Procurement functions are one of the fastest adopters of AI in enterprise. This article outlines the most impactful use cases and how to get started.
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Key Takeaways
- ✓Where will our data be stored and processed?
- ✓What security certifications does the vendor hold?
- ✓How will the AI integrate with our current systems?
- ✓What does success look like in measurable terms?
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